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ENTITY GEOM-Drugs

GEOM-Drugs

PulseAugur coverage of GEOM-Drugs — every cluster mentioning GEOM-Drugs across labs, papers, and developer communities, ranked by signal.

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Total · 30d
6
6 over 90d
Releases · 30d
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Papers · 30d
6
6 over 90d
TIER MIX · 90D
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_91439 ·

    New VAE Enhances Molecular Generation by Improving Latent Space Smoothness

    Researchers have developed TopVAE, a novel Variational Autoencoder (VAE) designed to improve the smoothness and validity of latent spaces in molecular diffusion models. Unlike previous methods relying on reconstruction …

  2. RESEARCH · CL_72558 ·

    New ENBP framework respects SE(3) symmetry for faster AI inference

    Researchers have developed Equivariant Neural Belief Propagation (ENBP), a new framework for probabilistic inference that respects SE(3) symmetry. ENBP utilizes equivariant Gaussian mixture models for messages, enabling…

  3. TOOL · CL_51064 ·

    New GO-Flow model improves 3D molecular conformation generation

    Researchers have developed GO-Flow, a novel generative model designed to improve the accuracy of 3D molecular conformation generation. Unlike previous methods that treat molecules as simple point clouds, GO-Flow incorpo…

  4. TOOL · CL_48971 ·

    New generative model EnFlow aids low-energy molecular structure discovery

    Researchers have developed EnFlow, a novel energy-guided generative framework for molecular structure discovery. This approach combines flow-based conformer generation with explicit energy landscape modeling to efficien…

  5. TOOL · CL_38352 ·

    Energy-based model generates physically consistent molecules

    Researchers have developed EBMol, a novel energy-based model for generating physically consistent 3D molecules. This model learns an atom-additive potential without requiring explicit simulations during training, utiliz…

  6. TOOL · CL_20542 ·

    NEAT transformer generates 3D molecules with state-of-the-art speed and accuracy

    Researchers have developed NEAT, a novel autoregressive set transformer designed for 3D molecular generation. Unlike previous methods that rely on sequential atom ordering, NEAT treats molecules as sets and uses a neigh…